DigiTech Resourcing
Senior Machine Learning Engineer

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Machine Learning Engineer | Contract
Term: 3 Months
Fully Remote
Up to £650pd (Inside iR35 if UK based)
I am hiring ML engineers for one of the biggest names in global tech, working on the algorithmic systems that make automated decisions at scale across a large marketplace.
The work sits across two areas. Supply and pricing, so how a fixed budget gets spent to mobilise supply against live demand, using levers like base pay, search pricing and dispatch logic. And the prediction side, so the time and duration models that feed dispatch, supply side pay and everything the end user sees. Depending on background there is scope in causal modelling and optimisation, or in redesigning and consolidating model architecture across platforms.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This is real time operational decisioning at volume, not a research bench. You would own solutions end to end, from concept through to production code with measurable impact, working in cross functional squads alongside engineers, data scientists and product.
Tech
- Python
- PySpark
- Gradient boosted trees and deep learning frameworks such as PyTorch or TensorFlow
- Feature stores and large scale data pipelines
- Kubernetes and cloud native deployment
- Experimentation and causal inference tooling


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What I am looking for
- Genuine ML engineering credentials rather than software engineering with some modelling attached.
- Deep grounding in ML fundamentals and the judgement to know when to apply them.
- Demonstrated ownership of end to end productionisation.
- A bias for simplicity and business impact over theoretical complexity.
- Product company background preferred.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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